HepaRG™ focused training
HeparRG™ is a unique and well established hepatic cell system able to produce early hepatic progenitor cells as well as completely mature human hepatocytes.
It is a valuable hepatic in-vitro model to be used in:
- In vitro ADME applications: Inhibition assays, Drug metabolism and clearance, Metabolite Identification, etc.
- In vitro toxicity testing applications: Hepatotoxicity (reactive metabolites, lipidosis, cholestasis, etc.), Virology (HBV, HCV), Infection with hepatitis and other viruses for replication, etc.
- Liver-assist devices/BioArtificial Livers
- Transgenic liver humanized animals populated with HeparRG™ cells
The proposed training offers a theoretical knowledge on the HeparRG™ model combined with hands-on experience and supplemented with data analysis and management. The aim of the workshop is to provide a solid introduction to use, possible application of liver-based in vitro models in combination with the newest approaches towards data annotation, handling and storage.
Target audience: people who are working with in vitro test systems and would like to learn on new models, applications and approaches to data handling, re-use and integration.
Provisional program:
Day 1
8.30h - 8.45h | HeparRG™: introductory overview |
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8.45h - 9.45h |
Hands-on session: Start exposure experiment in the lab - Exposure of 3D culture to a cholestatic chemical |
9.45h - 10.00h | Break |
10.00h - 12.00h |
Applicability examples: - HepaRG™: as an integrated model for studying bile canalicular dynamics to understand Cholestatic Toxicity - HepaRG™: as a model used in genotoxicity screening |
12.00h -13.00h | Lunch break |
13.00h - 14.00h | SOPs presentation for use of HepaRG™ cells |
14.00h -17.00h |
Practical session - Seeding of HepaRG cells in 2D and 3D - Microscopical observation of 2D and 3D cell systems at different day of differentiation ( 12 days /6 days/ 1 day) - Measurement of drug-induced cholestatic liver injury: Functional assay targeting bile canalicular dynamics |
Day 2
8.30h - 9.00h | Good Data Management Practices |
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9.00h - 9.45h |
EdelweissData - Introduction to the tool - Experimental design - Data annotation and integration - Data sharing, accessing and analysis |
9.45h - 10.00h | Break |
10.00h - 12.00h |
Data analysis - Image analysis- NOAEL/LOAEL/BMD calculations |